Apache构建lakehouse实践的相关内容

文章 2024-11-04 来自：开发者社区

巴别时代使用 Apache Paimon 构建 Streaming Lakehouse 的实践

随着数据湖技术的不断发展，越来越多的企业开始探索如何利用这一新兴技术来优化数据处理流程。Apache Paimon 是一款高性能的数据湖框架，它支持流式处理和批处理，能够为实时数据分析提供强大的支持。本文将分享巴别时代在构建基于 Apache Paimon 的 Streaming Lakehouse 方面的一些探索和实践经验。 Apache Paimon...

文章 2023-09-06 来自：开发者社区

AnalyticDB基于Apache Hudi构建低成本Lakehouse实践

1. AnalyticDB MySQL产品架构首先介绍下 AnalyticDB MySQL(下简称ADB)产品架构， ADB湖仓版产品架构包含自研和开源两部分。ADB湖仓版在数据全链路的「采存算管用」5 大方面都进行了全面升级和建设。在「采集」方面，我们推出了数据管道 APS 功能，可以一键低成本接入数据库、日志、大数据中的数据，解决数据入湖仓的问题。在「存储」方面，我们除了内置Hudi /De....

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更新时间 2024-11-05 09:08:08

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阿里云全托管 SelectDB 实时数仓服务，100%兼容 Apache Doris。广泛应用于实时报表分析、即席多维分析、日志检索分析、数据联邦与查询加速等场景，为客户提供极致性能、简单易用的数据分析服务。

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